Add examples with ThreadPoolExecutor and ProcessPoolExecutor

README.md

@@ -45,6 +45,8 @@ You can try it on Jupyter Notebook online:
   - [Threading](#threading)
   - [Multiprocessing](#multiprocessing)
   - [Multiprocessing.Pool](#multiprocessingpool)
+  - [ThreadPoolExecutor](#threadpoolexecutor)
+  - [ProcessPoolExecutor](#processpoolexecutor)
 - [Features](#features)
   - [A `break` and an exception](#a-break-and-an-exception)
   - [Progress of starting threads and processes with progress bars](#progress-of-starting-threads-and-processes-with-progress-bars)
@@ -310,6 +312,64 @@ def run_with_multiprocessing_pool():
 run_with_multiprocessing_pool()
 ```
 
+#### ThreadPoolExecutor
+
+An example with [`concurrent.futures.ThreadPoolExecutor`](https://docs.python.org/3/library/concurrent.futures.html#threadpoolexecutor):
+
+```python
+def task(n, name):
+    for _ in atpbar(range(n), name=name):
+        time.sleep(0.0001)
+
+
+def run_with_thread_pool():
+
+    n_workers = 5
+    n_tasks = 10
+
+    with ThreadPoolExecutor(max_workers=n_workers) as executor:
+        for i in range(n_tasks):
+            name = 'Task {}'.format(i)
+            n = random.randint(5, 1000)
+            executor.submit(task, n, name)
+
+    flush()
+
+
+run_with_thread_pool()
+```
+
+#### ProcessPoolExecutor
+
+An example with [`concurrent.futures.ProcessPoolExecutor`](https://docs.python.org/3/library/concurrent.futures.html#processpoolexecutor):
+
+```python
+def task(n, name):
+    for _ in atpbar(range(n), name=name):
+        time.sleep(0.0001)
+
+
+def run_with_process_pool():
+
+    n_workers = 5
+    n_tasks = 10
+
+    reporter = find_reporter()
+
+    with ProcessPoolExecutor(
+        max_workers=n_workers, initializer=register_reporter, initargs=(reporter,)
+    ) as executor:
+        for i in range(n_tasks):
+            name = 'Task {}'.format(i)
+            n = random.randint(5, 1000)
+            executor.submit(task, n, name)
+
+    flush()
+
+
+run_with_process_pool()
+```
+
 ---
 
 ### Features